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Rfast2  

A Collection of Efficient and Extremely Fast R Functions II
View on CRAN: Click here


Download and install Rfast2 package within the R console
Install from CRAN:
install.packages("Rfast2")

Install from Github:
library("remotes")
install_github("cran/Rfast2")

Install by package version:
library("remotes")
install_version("Rfast2", "0.1.5.2")



Attach the package and use:
library("Rfast2")
Maintained by
Manos Papadakis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-22
Latest Update: 2023-08-07
Description:
A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions. References: Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 .
How to cite:
Manos Papadakis (2019). Rfast2: A Collection of Efficient and Extremely Fast R Functions II. R package version 0.1.5.2, https://cran.r-project.org/web/packages/Rfast2. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0.1 (2019-03-22 18:33), 0.0.2 (2019-05-08 22:00), 0.0.3 (2019-07-28 06:50), 0.0.4 (2019-08-05 20:30), 0.0.5 (2019-12-16 17:00), 0.0.6 (2020-10-12 23:30), 0.0.7 (2020-10-20 00:00), 0.0.8 (2020-11-14 06:50), 0.0.9 (2021-03-22 01:00), 0.1.1 (2021-10-10 22:40), 0.1.3 (2022-03-23 08:50), 0.1.4 (2023-02-14 16:20), 0.1.5.1 (2023-08-07 21:40), 0.1.5 (2023-07-17 14:50)
Other packages that cited Rfast2 R package
View Rfast2 citation profile
Other R packages that Rfast2 depends, imports, suggests or enhances
Complete documentation for Rfast2
Functions, R codes and Examples using the Rfast2 R package
Some associated functions: Intersect . Merge . Quantile . Rfast2-package . Runif . Sample.int . add.term . benchmark . bernoulli.nb . bernoullinb.pred . bic.regs . big.knn . bigknn.cv . binom.reg . boot.james . boot.student2 . boot.ttest1 . cauchy0.mle . censpois.mle . censweib.reg . censweibull.mle . circ.cor1 . cls . cluster.lm . colGroup . colaccs . coljack.means . collognorm.mle . colmeansvars . colmses . colspml.mle . cor_test . covar . covdist . covequal . covlikel . dcora . den.contours . depth.mahala . diffic . empirical.entropy . fbed.reg . fe.lmfit . fedhc.skel . fipois.reg . fisher.da . fp . gammapois.mle . gammareg . gammaregs . gee.reg . gumbel.reg . halfcauchy.mle . hcf.circaov . hellinger.countreg . het.lmfit . hp.reg . is.lower.tri . is.skew.symmetric . jack.mean . km . kumar.mle . leverage . lm.bsreg . lm.drop1 . lm.parboot . logiquant.regs . lud . mci . mle.lda . mmhc.skel . mmpc . mmpc2 . moranI . multinom.reg . multinomreg.cv . multivm.mle . mv.score.glms . nb.cv . negbin.reg . negbin.regs . omp2 . overdispreg.test . pc.sel . pca . pcr . perm.ttest2 . pinar1 . pooled.colVars . propjs.reg . propols.reg . purka.mle . rbeta1 . refmeta . reg.mle.lda . regmlelda.cv . riag . rm.hotel . sclr . score.zipregs . sp.logiregs . stud.ttests . tobit.reg . trim.mean . trunccauchy.mle . vm.nb . vmnb.pred . wald.poisrat . walter.ci . weib.regs . weibull.nb . weibullnb.pred . welch.tests . zigamma.mle . zigamma.reg . ztp.reg . 
Some associated R codes: Intersect.R . Merge.R . Quantile.R . add.term.R . benchmark.R . big.knn.R . circ.cor1.R . circular_anova_tests.R . colGroup.R . col_binary_metrics.R . col_cont_metrics.R . colmeansvars.R . column_wise_mle.R . covariance_and_correlation_related_functions.R . dcora.R . den.contours.R . depth.mahala.R . diffic_and_discrim.R . directional_mle.R . empirical.entropy.R . fedhc_and_mmhc_skeleton.R . fp.R . jack.mean.R . km.R . leverage.R . lm.drop1.R . lm.parboot.R . makefolds.R . many_regression_models.R . mci.R . means_tests.R . moranI.R . multinomreg.cv.R . mv_score_tests.R . naive.bayes.classifiers.R . onAttach.R . overdispreg.test.R . pca_and_pcr.R . pinar1.R . random_generators.R . rbeta1.R . refmeta.R . reg.mle.lda.R . regression_models.R . regression_models_for_clustered_data.R . riag.R . trim.mean.R . univariate.mle.R . utilty_functions_for_matrices.R . variable_selection_algortihms.R . wald.poisrat.R . walter.ci.R .  Full Rfast2 package functions and examples
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